Evidence map›Paper›PMID 24957765›Full record

ArticleMetabolites2012

Analysis and Design of Stimulus Response Curves of E. coli.

Andreas Kremling, Anna Goehler, Knut Jahreis, Markus Nees, Benedikt Auerbach, Wolfgang Schmidt-Heck, Oznur Kökpinar, Robert Geffers, Ursula Rinas, Katja Bettenbrock

Abstract read
In one paragraph

Article in Metabolites, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Andreas KremlingSystems Biotechnology, Technische Universität München, Boltzmannstr. 15, Garching b. München, Germany. a.kremling@tum.de.
Anna GoehlerUniversity Osnabrück, Barbarastrasse 11, Osnabrück, Germany. anna.goehler@gmx.de.
Knut JahreisUniversity Osnabrück, Barbarastrasse 11, Osnabrück, Germany. knut.jahreis@biologie.uni-osnabrueck.de.
Markus NeesMax Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. markus.nees@mpi-magdeburg.mpg.de.
Benedikt AuerbachSystems Biotechnology, Technische Universität München, Boltzmannstr. 15, Garching b. München, Germany. auerbach@web.de.
Wolfgang Schmidt-HeckHans Knoell Institute, Beutenbergstrasse 11a, Jena, Germany. wolgang.schmidt-heck@hki-jena.de.
Oznur KökpinarHelmholtz Center for Infection Research, Inhoffenstr. 7, Braunschweig, Germany. koekpinar@iftc.uni-hannover.de.
Robert GeffersHelmholtz Center for Infection Research, Inhoffenstr. 7, Braunschweig, Germany. Robert.Geffers@helmholtz-hzi.de.
Ursula RinasHelmholtz Center for Infection Research, Inhoffenstr. 7, Braunschweig, Germany. Ursula.Rinas@helmholtz-hzi.de.
Katja BettenbrockMax Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. katja.bettenbrock@mpi-magdeburg.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolism and signalling are tightly coupled in bacteria. Combining several theoretical approaches, a core model is presented that describes transcriptional and allosteric control of glycolysis in Escherichia coli. Experimental data based on microarrays, signalling components and extracellular metabolites are used to estimate kinetic parameters. A newly designed strain was used that adjusts the incoming glucose flux into the system and allows a kinetic analysis. Based on the results, prediction for intracelluar metabolite concentrations over a broad range of the growth rate could be performed and compared with data from literature.

Identifiers

PMID24957765
PMCPMC3901224

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.